Multifunctional biomaterialsPhoto: Foltan/ATB
New biobased products for the bioeconomy
This program area focuses on the development of site-specific technology and processes for sustainable production of biomass in agriculture and its resource-efficient use by further processing it into biomaterials in the context of bioeconomic value chains. Establishing closed substance cycles is particularly important with regard to carbon, in order to promote the function of biomaterials as carbon sinks.
Our research activities deepen the fundamental understanding of the physical, chemical and biological processes involved in the production, pre-treatment, processing and conversion of biomass. We investigate the respective process steps exemplarily in short rotation coppice, agroforestry systems (link to YouTube), paludiculture, fiber crops and biobased products.
The common goal of our research is the development of integrated concepts for a cascading use of biomass and residues from agriculture in order to explore new ways for biomass use in terms of biorefinery systems.
Lignocellulose from short rotation coppice, agroforestry systems and paludiculture
Woody biomass from agriculture is an important raw material for bioeconomic value chains and offers significant potential for climate protection and energy security. Our research focuses on advanced processes for the production and sustainable use of lignocellulose for bioenergy and biomaterials, which for example can be used as fibers in the construction, pulp and paper industries or as feedstock for the production of biobased chemicals.
Our research aims at producing lignocellulosic biomass sustainably on agricultural land using fast-growing woody plants in short rotationor agroforestry systems, as well as using suitable plant species on rewetted peatland sites (paludiculture).
We are investigating the site-specific potentials of biomass production and carbon storage and are developing technical solutions for harvesting, storage and processing of woody biomass, especially in terms of energy requirements.
As a first step for the development of Digital Twins, we are designing models for plant growth and carbon storage during biomass production as well as for drying and decomposition processes of shredded biomass.
High-quality plant fibers are attractive not only for the production of textiles, they are also used as building or insulating materials in industry, for example, thus replacing fossil raw materials. In addition to well-known and unknown fiber plants such as hemp, nettle or flax, we are particularly interested in lignocellulose-containing biomasses from the co- and residual use of food, feed and energy crops.
Research focuses on the development of process technology for fiber crops along the entire value chain: from the production of biobased agricultural fiber raw materials to their technical application. The wide range and high variability of different plant material properties are a particular challenge for the development of resource-efficient technologies in fiber production. We measure, analyze and model environmentally or technically induced changes in these properties and develop new methods for determining specific morphological, gravimetric or mechanical properties. This enables us to derive effective operating principles for technical facilities and even new process lines - for fiber plants and also for alternative lignocellulosic biomass from agriculture.
Another promising way to create value from organic by-products and residues is bioconversion by means of microbial fermentation. In our research, we focus on the production of lactic and succinic acid, as these two monomers are the main components for subsequent processing into bioplastics.
Understanding the entire process, starting with the screening of suitable bacterial strains, biomass pretreatment, fermentation, and the downstream purification and concentration process, requires a thorough knowledge of the individual process steps and their integration. Taking into account the variability of the starting material and the vitality of the microbial strains, we develop scientific approaches for an efficient process design. We aim to produce biochemicals as tailor-made feedstock for further processing into multifunctional biomaterials.
News related to the program area
TreeDigitalTwins – REGULUS - KI-basierte Verfahren zur Analyse von 4D-Punktwolken zum Aufbau Digitaler Zwillinge am Beispiel von Vegetationsbeständen, Teilprojekt 3 ▶
At present, 60-70% of all soils are unhealthy in Europe as a result of land management practices, pollution, intensive agriculture, urbanisation, and the effects of climate change. Due to this and other biophysical const…
SensoBA – Sensorgestützte Beikrautregulierung - Verfahren und maschinentechnische Lösungen zur automatisierten, herbizidfreien sowie flächigen Entfernung von Begleitvegetation in Agrarholzpflanzungen ▶
The long-term yield of agrowood crops depends largely on efficient weed control in the year of planting. The currently used methods either only allow for mechanical area maintenance between the planting rows or require a…
BLuMo – Brandenburgs Luchgebiete klimaschonend bewahren - Initiierung einer moorerhaltenden Stauhaltung und Bewirtschaftung ▶
The rewetting of organic soils is one of the most important greenhouse gas mitigation options in agriculture with the highest mitigation potential. The state of Brandenburg has 165,000 ha of peatland. In 2019, the Brand…
PaludiKult – Modellvorhaben zur Herstellung von nachhaltigen Kultursubstraten auf Basis von Faserstoffen aus Paludibiomasse ▶
In the PaludiKult project, the sustainable production and processing of paludibio mass for use as fibre in growing media is being researched and tested in practice. For this purpose, the site- and species-specific biomas…
Publications of the program area
- Marzban, N.; Libra, J.; Rotter, V.; Ro, K.; Moloeznik Paniagua, D.; Filonenko, S. (2023): Changes in Selected Organic and Inorganic Compounds in the Hydrothermal Carbonization Process Liquid While in Storage. ACS Omega. (4): p. 4234-4243. Online: https://doi.org/10.1021/acsomega.2c07419 1.0
- Bettoni, M.; Maerker, M.; Sacchi, R.; Bosino, A.; Conedera, M.; Simoncelli, L.; Vogel, S. (2023): What makes soil landscape robust? Landscape sensitivity towards land use changes in a Swiss southern Alpine valley. Science of the Total Environment. (2): p. 159779. Online: https://doi.org/10.1016/j.scitotenv.2022.159779 1.0
- Tkachenko, V.; Marzban, N.; Vogl, S.; Filonenko, S.; Antonietti, M. (2023): Chemical Insight into the Base-Tuned Hydrothermal Treatment of Side Stream Biomasses. Sustainable Energy & Fuels. : p. 769-777. Online: https://doi.org/10.1039/D2SE01513G 1.0
- Karimi, H.; Navid, H.; Dammer, K. (2023): A Pixel-wise Segmentation Model to Identify Bur Chervil (Anthriscus caucalis M. Bieb.) Within Images from a Cereal Cropping Field. Gesunde Pflanzen. (1): p. 25-36. Online: https://doi.org/10.1007/s10343-022-00764-6 1.0
- Alipasandi, A.; Mahmoudi, A.; Sturm, B.; Behfar, H.; Zohrabi, S. (2023): Application of meta-heuristic feature selection method in low-cost portable device for watermelon classification using signal processing techniques. Computers and Electronics in Agriculture. (107578): p. 1-16. Online: https://doi.org/10.1016/j.compag.2022.107578 1.0
- Küchler, J.; ; Reiß, E.; Nuß, L.; Conrady, M.; Ramm, P.; Schimpf, U.; Reichl, U.; Szewzyk, U.; Benndorf, D. (2023): Degradation Kinetics of Lignocellulolytic Enzymes in a Biogas Reactor Using Quantitative Mass Spectrometry. Fermentation. (1): p. 67. Online: https://doi.org/10.3390/fermentation9010067 1.0
- Klongklaew, A.; Unban, K.; Kalaimurugan, D.; Kanpiengjai, A.; Azaizeh, H.; Schroedter, L.; Schneider, R.; Venus, J.; Khanongnuch, C. (2023): Bioconversion of Dilute Acid Pretreated Corn Stover to L-Lactic Acid Using Co-Culture of Furfural Tolerant Enterococcus mundtii WX1 and Lactobacillus rhamnosus SCJ9. Fermentation. (2): p. 112. Online: https://doi.org/10.3390/fermentation9020112 1.0
- Specka, X.; Martini, D.; Weiland, C.; Arend, D.; Asseng, S.; Boehm, F.; Feike, T.; Fluck, J.; Gackstetter, D.; Gonzales-Mellado, A.; Hartmann, T.; Haunert, J.; Hoedt, F.; Hoffmann, C.; König, P.; Lange, M.; Lesch, S.; Lindstädt, B.; Lischeid, G.; Möller, M.; Rascher, U.; Reif, J.; Schmalzl, M.; Senft, M.; Stahl, U.; Svoboda, N.; Usadel, B.; Webber, H.; Ewert, F. (2023): FAIRagro: ein Konsortium in der nationalen Forschungsdateninfrastruktur (NFDI) für Forschungsdaten in der Agrosystemforschung. Informatik Spektrum. (Januar): p. 1-12. Online: https://doi.org/10.1007/s00287-022-01520-w 1.0
- Dammer, K. (2023): Arbeitstagung Sensorgestützte Erkennung von Schaderregern in Freilandkulturen am Leibniz-Institut für Agrartechnik und Bioökonomie Potsdam-Bornim (ATB), 11. und 12. Mai 2022. Gesunde Pflanzen. : p. 1-4. Online: https://doi.org/10.1007/s10343-022-00799-9 1.0
- Gautam, S.; Höhne, M.; Hansen, S.; Jenssen, R.; Kampffmeyer, M. (2023): This looks More Like that: Enhancing Self-Explaining Models by Prototypical Relevance Propagation. Pattern Recognition. (April): p. 109172. Online: https://doi.org/10.1016/j.patcog.2022.109172 1.0